Statistical Models and Methods for Lifetime Data

Doubling as a reference work and as a textbook for advanced students, this book provides a unified treatment of the models and methods used to analyze lifetime data. Chapters concentrate on topics like: observation schemes, censoring, and likelihood; non-parametric and graphical procedures; inference procedures for parametric models; inference procedures for log-location-scale distribution; parametric regression models; semi-parametric multiplicative hazards regression models; rank-type and other semi-parametric procedures for log- location-scale models; multiple modes of failure; goodness-of-fit tests; and, multivariate and related analyses. Key concepts are illustrated with extensive examples from engineering and the biomedical sciences. Lawless teaches statistics and actuarial science at the University of Waterloo"